The O word: do you really need an ontology? The Year of the Graph Newsletter: November / October 2019

The O word: do you really need an ontology? The Year of the Graph Newsletter: November / October 2019

How do you manage your enterprise data in order to keep track of it and be able to build and operate useful applications? This is key question all data managements systems are trying to address, and knowledge graphs, graph databases and graph analytics are no different. What is different about knowledge graphs is that they […]

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Knowledge Graphs are the new Black. The Year of the Graph Newsletter, May 2019

Knowledge Graphs are the new Black. The Year of the Graph Newsletter, May 2019

Knowledge graphs become a centerpiece of Accenture and Microsoft’s toolkits. Knowledge graph lessons from Google, Facebook, eBay, IBM. Graph algorithms and analytics by Neo4j and Nvidia. Connected Data London and JSON-LD goodness, tips and tools for building and visualizing knowledge graphs, using graphs with Elixir and Typescript, and Geometric Deep Learning for a 3D world, […]

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In Between Years. The Year of the Graph Newsletter: January 2019

In Between Years. The Year of the Graph Newsletter: January 2019

In between years, or zwischen den Jahren, is a German expression for the period between Christmas and New Year. This is traditionally a time of year when not much happens, and this playful expression lingers itself in between the literal and the metaphoric. As the first edition of the Year of the Graph newsletter for […]

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Getting knowledge graph semantics and definitions right. The Year of the Graph Newsletter Vol. 6, October 2018

Getting knowledge graph semantics and definitions right. The Year of the Graph Newsletter Vol. 6, October 2018

Getting knowledge graph semantics and definitions right, semantic web standards used in the real world, by Google no less, and ArangoDB, Azure CosmosDB, Neo4j and TigerGraph announcing new versions. By now you probably know that knowledge graphs are in Gartner’s Hype Cycle. But how does one actually define a knowledge graph? My take on ZDNet. […]

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Knowledge graphs in Gartner’s hype cycle. The Year of the Graph Newsletter Vol. 5, September 2018

Knowledge graphs in Gartner’s hype cycle. The Year of the Graph Newsletter Vol. 5, September 2018

Knowledge graphs in Gartner’s hype cycle, machine learning extensions and visual tools for graph databases, Ethereum analytics with RDF, Using Gremlin with R, SPARQL, and Spring, graph database research wins best paper award in VLDB, and benchmarking AWS Neptune. Not bad for a typical summer vacation month such as August. This edition of the Year […]

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Choosing a Graph Database. The Year of the Graph Newsletter Vol. 4, July 2018

The Year of the Graph Newsletter: July 2018

What is a graph database? Do you really need one, and if yes, how do you choose? That’s what it all comes down to. This month’s edition of the Year of the Graph newsletter is special. Apart from the usual hubbub, which is somewhat slower this time of year, this month the Year of the […]

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On Graph query languages. The Year of the Graph Newsletter Vol. 3, June 2018

On Graph query languages. The Year of the Graph Newsletter Vol. 3, June 2018

AWS Neptune goes GA, Microsoft Cosmos DB releases new features, the query language discussion heats up, TigerGraph announces free developer edition, building enterprise knowledge graphs in the real world with Zalando and Textkernel, and more. May has been another interesting month for the graph database world. How can data scientists use knowledge graphs? How, and […]

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